Method of differential-phase/absolute-amplitude qam

ABSTRACT

A method of quadrature amplitude modulation involving encoding phase differentially and amplitude absolutely, allowing for a high data rate and spectral efficiency in data transmission and other communication applications, and allowing for amplitude scaling to facilitate data recovery; amplitude scale tracking to track-out rapid and severe scale variations and facilitate successful demodulation and data retrieval; 2 N  power carrier recovery; incoherent demodulation where coherent carrier recovery is not possible or practical due to signal degradation; coherent demodulation; multipath equalization to equalize frequency dependent multipath; and demodulation filtering.

RELATED APPLICATIONS

The present application is continuation application and claims prioritybenefit, with regard to all common subject matter, of earlier-filed U.S.nonprovisional patent application titled “METHOD OFDIFFERENTIAL-PHASE/ABSOLUTE-AMPLITUDE QAM,” Ser. No. 10/454,808, filedJun. 4, 2003. The identified earlier-filed application is herebyincorporated by reference into the present application.

FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT PROGRAM

The present invention was developed with support from the U.S.government under Contract No. DE-AC04-01AL66850 with the U.S. Departmentof Energy. Accordingly, the U.S. government has certain rights in thepresent invention.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention relates broadly to methods of signal modulationand demodulation, particularly methods of quadrature amplitudemodulation, for facilitating data transmission and other communicationapplications. More particularly, the present invention concerns a methodof quadrature amplitude modulation involving encoding phasedifferentially and amplitude absolutely to achieve a high data rate andspectral efficiency in data transmission and other communicationapplications, and also for allowing amplitude scaling to facilitate datarecovery; amplitude scale tracking; 2^(N) power carrier recovery;incoherent demodulation; coherent demodulation; multipath equalization;and demodulation filtering.

2. Description of the Prior Art

It is often desirable to maximize data rate and spectral efficiency incommunication applications. Quadrature amplitude modulation (QAM), forexample, is one means of doing so. QAM is a well-known modulation methodcombining amplitude and phase modulation in which two sinusoidalcarriers, one exactly 90° or ¼ cycle out of phase with respect to theother, are used to transmit data over a single channel. Because thecarriers differ by a 90° phase shift, they are orthogonal and can bemodulated independently, transmitted over the same frequency band, andseparated during demodulation at the receiver. Thus, for a givenavailable bandwidth, QAM enables higher data transmission rates thanother prior art modulation methods. QAM and its derivatives are used inmobile radio and satellite communication systems and other wireless andcable data transmission applications.

Prior art QAM methods, however, suffer from a number of problems anddisadvantages, including, for example, that they typically encode bothamplitude and phase absolutely and do not allow for continuousreferencing. Furthermore, prior art methods typically do notsatisfactorily address changes in signal strength or rapid and severescale variations, and therefore do not facilitate successful signaldemodulation and data retrieval under such conditions. Additionally,prior art methods typically do not satisfactorily allow for incoherentcarrier recovery when coherent recovery is impossible due to signaldegradation. Additionally, prior art methods typically do notsatisfactorily address multipath equalization under conditions of severefrequency dependent fading.

It should be noted that while references to so-called “differential” QAMmethods can be found in prior art literature, these methods are relatedto bit assignment and typically continue to require coherentdemodulation or involve amplitude ratioing which sacrificesbit-error-rate (BER) performance.

Due to the above-identified and other problems and disadvantages in theart, a need exists for an improved method of signal modulation anddemodulation for maximizing data rate and spectral efficiency in datatransmission and other communication applications

SUMMARY OF THE INVENTION

The present invention overcomes the above-described and other problemsand disadvantages in the prior art by providing a method of QAMinvolving encoding phase differentially and amplitude absolutely toachieve a high data rate and spectral efficiency in data transmissionand other communication applications with minimum sacrifice in BER whilestill allowing for amplitude scaling to facilitate data recovery;amplitude scale tracking to track-out rapid and severe scale variations;2^(N) power carrier recovery for carrier frequency recovery; incoherentdemodulation where coherent carrier recovery is not possible orpractical due to signal degradation; improved coherent demodulation;multipath equalization to equalize frequency dependent multipath; anddemodulation filtering.

Encoding Phase Differentially and Amplitude Absolutely forDifferential-Phase/Absolute Amplitude QAM.

The method includes a technique for encoding phase differentially andamplitude absolutely, involving two constellations: anabsolute-phase/absolute-amplitude constellation and adifferential-phase/absolute-amplitude pseudo-constellation. The absoluteconstellation, in which not all transitions between states are allowed,is the constellation of the actual absolute referenced IQ statestransmitted, plotting a present phase and a present amplitude from apresent absolute-amplitude/absolute-phase state being transmitted. Incontrast, the differential pseudo-constellation plots a change in phasefrom a previous absolute-amplitude/absolute-phase state transmitted tothe present absolute-amplitude/absolute-phase state being transmitted,and plots the absolute amplitude level of the presentabsolute-amplitude/absolute-phase state being transmitted. The absoluteconstellation is used to generate the differential pseudo-constellationwhich represents, with fewer points, the symbols transmitted. Bitassignments are made for each point in the differentialpseudo-constellation.

It should be noted that the presentdifferential-phase/absolute-amplitude QAM method is entirely differentfrom the so-called “differential” QAM methods referenced in prior artliterature. While the latter relates to bit assignment and continues torequire coherent demodulation or involves amplitude ratioing with BERsacrifice, the present method involves phase being directlydifferentially encoded completely independent of bit assignments to thedifferent states while amplitude remains absolute. In the presentmethod, any arbitrary bit assignment could be made, but a Gray or“semi”-Gray code assignment (perfect Gray coding is not possible for apolar constellation) would normally be used to minimize BER. Thus, thepresent method, involving a hybrid of differential and absolutereferencing, is distinguished from and an improvement over prior art QAMmethods involving only absolute referencing.

itude Scaling Using Amplitude Transitions.

The method also includes an amplitude scaling technique using amplitudetransitions for scaling the amplitudes of the differentialpseudo-constellation, thereby advantageously facilitating data recovery.Broadly, an amplitude transition, whether higher-to-lower orlower-to-higher, between the previous state and the present state isexamined to identify an actual amplitude level. Then, a scale factor iscalculated by dividing a normalized ideal amplitude level by the actualamplitude level. This process is repeated to result in a plurality ofscale factors. Next, the plurality of scale factors are averaged toproduce an average scale factor, and, lastly, the average scale factoris used to scale the amplitudes of the differential pseudo-constellation

Amplitude Scale Tracking Using Amplitude Transitions.

The method also includes an amplitude scale tracking technique fortracking-out rapid and severe scale variations in the received multipleamplitude level QAM signal, thereby advantageously facilitatingsuccessful signal demodulation and data retrieval. Broadly, scaling fortracking-out the scale variations is determined based upon legitimatehigher-to-lower or lower-to-higher transitions in the signal to identifyknown amplitude levels. Those transitions whose ratio is within apre-established tolerance of a nominal ratio of a pair of amplitudelevels, the transition between which is being searched, are consideredto be known transitions between those amplitude levels, and thereforeknown sample amplitude levels can be identified and used for determiningscale factors by dividing a normalized ideal amplitude level by theactual amplitude level. Lastly, each symbol sample magnitude ismultiplied by a weighted average of scale factors with greater weightbeing given to scale factors determined from symbol amplitudes closestto the symbol amplitude being scaled. In this manner, changes in signalstrength are compensated.

Amplitude Scaling Using Amplitude Maximums.

The method also includes an alternative amplitude scaling techniqueusing amplitude maximums. Broadly, ideal constellation amplitudemagnitudes are first chosen. Then, the ideal ratio of each constellationamplitude magnitude to the outer level constellation magnitude isdetermined. Next, upper and lower limits are established around eachideal ratio value. Then, for a given signal segment to be scaled, themaximum amplitude magnitude over the entire segment is determined. Next,for each symbol sample, the ratio of the symbol sample magnitude to themaximum magnitude over the entire segment is determined. If this ratiois within the established upper and lower limits, corresponding to agiven ideal magnitude level, then that point can be identified as beingof that ideal magnitude level. That ideal magnitude level is thendivided by the magnitude of that symbol sample point identified as beingof that ideal magnitude level to obtain a scale factor. This process isrepeated for all symbol samples within the signal segment, therebygenerating a plurality of scale factors. The plurality of scale factorsare then averaged to determine an amplitude scale factor for the entiresignal segment. Lastly, all symbol sample magnitudes within the signalsegment are multiplied by the average amplitude scale factor.

2^(N) Power Carrier Recovery.

The method also includes a 2^(N) power carrier recovery technique forrecovering a carrier signal from the modulated signal alone and withoutbenefit of a pilot carrier wave, thereby advantageously facilitatingdemodulation of the QAM signal and retrieval of the data. Broadly, thesignal is first bandpass pre-filtered around an intermediate frequency.

A limit amplitude value is determined as follows. The absolute value ofthe bandpass pre-filtered signal is determined. Then, the mean isdetermined and divided by a user-selected divisor to obtain a limitamplitude value which is near the lowest constellation amplitude level.

The original bandpass pre-filtered signal is up-sampled to increase theNyquist rate. Next, this up-sampled signal's positive and negativeamplitude swings are either hard or soft limited to the limit amplitudevalue.

Two alternative loop paths are then available. On a first loop path(repeated N times, for i=1, 2, 3, . . . N), the signal is bandpassfiltered from 2^((i−1))*(start frequency) to 2^((i−1))*(end frequency),and then squared. On a second loop path (repeated N times), the signalis bandstop filtered from 2^(N)*(start frequency) to 2^(N)* (endfrequency), and then squared.

Two alternative end paths are then available. On a first end path, thesignal is Fourier transformed. Then the peak response is found between2^(N)*(start frequency) and 2^(N)*(end frequency). Lastly, the frequencycorresponding to the peak response is divided by 2^(N), with the resultbeing the carrier signal frequency. On a second end path, the signal isbandpass filtered from 2^(N)*(start frequency) to 2^(N)* (endfrequency). Lastly, a frequency divide by 2^(N) operation is performed,with the result being the carrier signal frequency.

Coherent Demodulation.

The method also includes an improved coherent demodulation “N+” windowtechnique for carrier recovery that advantageously provides significantimprovement in BER versus Eb/No over incoherent demodulation. Broadly,for each set of N absolute-phase/absolute-amplitude constellationreceived states, each state is assigned to the nearest idealabsolute-phase/absolute-amplitude constellation point. If theserepresent a legal sequence of N−1 differential transition states, thenthose are the N−1 differential transition states tentatively assigned.Otherwise, the N−1 differential transition states tentatively assignedare based upon a sequence of lowest metric constellation statesdetermined as follows. For each of the Nabsolute-phase/absolute-amplitude constellation states, it and the Madjacent states, for M+1 total states, are determined, resulting in(M+1)^(N) possible combinations. These are then reduced to only thosecombinations that represent a sequence of N−1 valid differentialtransitions. Of these, the one with the lowest metric is tentativelychosen as the N−1 differential transition states or N absolute states.All of the previous steps are then repeated, each time advancing onestate at a time through the received sequence such that eachdifferential transition is assigned with associated metric N−1 times.Lastly, the metric is again applied and the one of the N−1 with thesmallest associated metric is chosen as the actual differential state.

Incoherent Demodulation.

The method also includes an incoherent demodulation technique using“closest to” state assignment to advantageously accomplish carrierrecovery when coherent carrier recovery is not possible or practical dueto signal degradation. Broadly, the ideal points in the multi-statedifferential pseudo-constellation are determined. Thereafter, when anormalized point is received it is assigned to a closest one of theideal points.

Transmitter Logic.

One possible implementation of transmitter logic for generating thedesired differential-phase/absolute-amplitude symbols from the tunedabsolute-phase/absolute-amplitude IQ constellation points is as follows.First, two look-up tables, Table A and Table B, are created. In Table Ais a list of all the states in the differential pseudo-constellation,N=0 to C, where C is the total number ofdifferential-phase/absolute-amplitude pseudo-constellation points−1, andwhere N is the number being transmitted with that symbol. Correspondingto each element N are two representative integer numbers: a first numberand a second number, with the first number, A, representing acorresponding amplitude level, and the second number, D, representing anumber of differential phase increments. In Table B is a list ofabsolute constellation I values and a Q values, and a correspondingindex number, T. In the following, N_(p)=total number ofabsolute-phase/absolute-amplitude phases. The smallest phase incrementis (360/N_(p)).

When it is desired to transmit the bit pattern equal to the number N,the A and D numbers corresponding to N are looked-up in Table A. Then,an absolute phase, P(i), is determined per P(i)=P(i−1)+D, where P(i−1)is the previous value of P′(i). Next, when P(i) corresponds to a phaseexceeding 360°, that is P(i)>N_(p)−1, then a revised P(i) value, P′(i),is generated per P′(i)=P(i)−N_(p), so that the wraparound 360° issubtracted off. Otherwise, P′(i)=P(i). Then, a T value is determined asT=P′(i)+N_(p)*A. Lastly, the I and Q values corresponding to the T valueare looked-up in Table B, and then sent to I and Q digital-to-analogconverters.

Multipath Equalization.

The method also includes a multipath equalization technique forequalizing a frequency dependent multipath degraded signal toadvantageously deal with moderate or severe conditions of frequencydependent fading so that data can be successfully recovered. Broadly,the multipath corrupted signal is received as an input signal. Then, theinput signal is filtered using a trial equalization filter having a setof one or more filter parameters. The one or more filter parametersinclude Ai's, Di's and Pi's, where i=1 to M−1 to compensate M multipathsignals. Ai is the fractional amplitude of the i^(th) multipath signalrelative to the line-of-sight (LOS) signal. Di is the relative delaybetween the i^(th) multipath signal and the LOS signal. Pi is therelative angle between the i^(th) multipath signal and the LOS signal.Next, an optimization criteria is determined from the filtered inputsignal. Thereafter, the process is repeated, each time varying the setof one or more filter parameters to obtain a potentially differentoptimization criteria value. Lastly, based on the various optimizationcriteria results obtained, the set of one or more filter parameters thatresults in an optimized optimization criteria value is selected and usedto compensate the multipath corrupted signal and successfully equalizethe frequency dependent multipath. It will be appreciated that thesegeneral steps can be used for both two-ray and M-ray modeled signals.

Demodulation Filtering.

The method also includes a technique for demodulation filtering.Broadly, an I signal portion and a Q signal portion of the QAM signalare downconverted. Then, a filter function is determined as a functionof a weighted curve, giving greater weight to center and less weight toedge samples, and a transfer function of one or more transmitter I and Qbaseband filters. Lastly, the I signal portion and the Q signal portionare filtered using the filter function to demodulate the QAM signal.

Advantages.

Thus, it will be appreciated that the method of the present inventionprovides a number of substantial advantages over the prior art,including, for example, providing continuous phase and amplitudereferencing, wherein phase is encoded differentially and amplitude isencoded absolutely. Additionally, the method allows for scaling theamplitudes of the differential pseudo-constellation so that the signalcan be demodulated. Additionally, the method allows for advantageouslytracking-out rapid and severe scale variations in the received multipleamplitude level QAM signal so that the signal can be successfullydemodulated and the data retrieved. Additionally, the method allows forincoherent carrier recovery when coherent recovery is impossible due tofrequency variations in the signal, thereby advantageously facilitatingdemodulation of the QAM signal and retrieval of the data. Additionally,the method allows for coherent carrier recovery that advantageouslyprovides significant improvement in BER versus Eb/No over incoherentdemodulation. Additionally, the method advantageously allows forequalizing frequency dependent multipath to deal with rapid and severeconditions of frequency dependent fading so that data can besuccessfully recovered from, for example, a high-speed telemetry QAMsignal. Additionally, the method allows for improved demodulationfiltering

These and other important features of the present invention are morefully described in the section titled DETAILED DESCRIPTION OF APREFERRED EMBODIMENT, below.

BRIEF DESCRIPTION OF THE DRAWINGS

A preferred embodiment of the present invention is described in detailbelow with reference to the attached drawing figures, wherein:

FIG. 1 is a block diagram of steps involved in a preferred embodiment ofthe method concerning a technique for encoding phase differentially andamplitude absolutely;

FIG. 2 is a block diagram of steps involved in a preferred embodiment ofthe method concerning a technique for amplitude scaling based uponamplitude transitions;

FIG. 3 is a block diagram of steps involved in accomplishing aparticular step of the technique of FIG. 2, wherein the step concernsamplitude scaling;

FIG. 4 is a block diagram of steps involved in a preferred embodiment ofthe method concerning a technique for amplitude scale tracking;

FIG. 5 is a block diagram of steps involved in a preferred embodiment ofthe method concerning a technique for amplitude scaling;

FIG. 6 is a block diagram of steps involved in a preferred embodiment ofthe method concerning a technique for 2^(N) power carrier recovery of amodulated signal;

FIG. 7 is a continuation of the steps shown in FIG. 6;

FIG. 8 is a block diagram of steps involved in a preferred embodiment ofthe method concerning a technique for coherent demodulation forcoherently recovering the carrier signal;

FIG. 9 is a block diagram of steps involved in a preferred embodiment ofthe method concerning a technique for incoherent demodulation forincoherently recovering the carrier signal;

FIG. 10 is a block diagram of steps involved in a preferred embodimentof transmitter logic for implementing a portion of the method of thepresent invention;

FIG. 11 is a block diagram of steps involved in a preferred embodimentof the method concerning a technique for two-ray multipath equalization;

FIG. 12 is a block diagram of steps involved in a preferred embodimentof the method concerning a technique for M-ray multipath equalization;and

FIG. 13 is a block diagram of steps involved in a preferred embodimentof the method concerning a technique for demodulation filtering.

DETAILED DESCRIPTION OF A PREFERRED EMBODIMENT

Referring to the figures, a method is disclosed in accordance with apreferred embodiment of the present invention. More particularly, thepresent invention concerns a method of QAM involving encoding phasedifferentially and amplitude absolutely to achieve a high data rate andspectral efficiency in data transmission and other communicationapplications, and allowing for amplitude scaling to facilitate datarecovery; amplitude scale tracking to track-out rapid and severe scalevariations and facilitate successful demodulation and data retrieval;2^(N) power carrier recovery from modulated signal; incoherentdemodulation where coherent carrier recovery is not possible orpractical due to signal degradation; improved coherent demodulation;multipath equalization to equalize frequency dependent multipath; anddemodulation filtering. Thus, the present method, involving a hybrid ofdifferential and absolute referencing, is distinguished from and animprovement over prior art QAM methods involving only absolutereferencing.

The present application incorporates by reference the contents of thefollowing non-provisional patent applications: METHOD OFDIFFERENTIAL-PHASE/ABSOLUTE-AMPLITUDE QAM, Ser. No. 10/454,805, filedJun. 4, 2003; METHOD OF DIFFERENTIAL-PHASE/ABSOLUTE-AMPLITUDE QAM, Ser.No. 10/454,811, filed Jun. 4, 2003; and METHOD OFDIFFERENTIAL-PHASE/ABSOLUTE-AMPLITUDE QAM, Ser. No. 10/454,804, filedJun. 4, 2003.

Encoding Phase Differentially and Amplitude Absolutely forDifferential-Phase/Absolute Amplitude QAM.

The method includes a technique for encoding phase differentially andamplitude absolutely, involving two constellations: anabsolute-phase/absolute-amplitude constellation and adifferential-phase/absolute-amplitude pseudo-constellation. The absoluteconstellation, in which not all transitions between states are allowed,is the constellation of the actual absolute referenced IQ statestransmitted, plotting a present phase and a present amplitude from apresent absolute-amplitude/absolute-phase state being transmitted. Incontrast, the differential pseudo-constellation plots a change in phasefrom a previous absolute-amplitude/absolute-phase state transmitted tothe present absolute-amplitude/absolute-phase state being transmitted,and plots the absolute amplitude level of the presentabsolute-amplitude/absolute-phase state being transmitted. The absoluteconstellation is used to generate the differential pseudo-constellationwhich represents, with fewer points, the symbols transmitted. Bitassignments are made for each point in the differentialpseudo-constellation.

The technique can be broadly characterized as follows. First, referringto FIG. 1, a first absolute constellation, being theabsolute-phase/absolute-amplitude constellation, is created plotting thepresent phase absolutely and the present amplitude absolutely using aplurality of first points, as depicted in box 20. Then, a seconddifferential pseudo-constellation, being thedifferential-phase/absolute-amplitude pseudo-constellation, is generatedbased upon the first absolute constellation and using a plurality ofsecond points which are fewer in number than the plurality of firstpoints, as depicted in box 22. The second differentialpseudo-constellation plots a change in phase between previous andpresent phases differentially and plots the present amplitudeabsolutely.

The differential pseudo-constellation points are determined as follows.First, an integral divisor of 360° is chosen as the smallest change inphase from the previous to the present absolute-amplitude/absolute-phasestates to be transmitted, as depicted in box 24. The integral divisor issome value 360/N_(p), where N_(p) is the number of possible absolutephase states. Next, possible valid differential phases for thedifferential pseudo-constellation are chosen, each being an integralmultiple of 360/N_(p), as depicted in box 26. All points i*360/N_(p),where i=0, 1, 2 . . . N_(p)−1, do not necessarily have to be included inthe differential pseudo-constellation, although they normally would be.Lastly, for each of these differential phases, there are selected one ormore absolute amplitude levels depending on the differentialpseudo-constellation desired, as depicted in box 28. Assuming that atotal of N_(a) amplitude levels are used, the absolute constellationwill need N_(a)*N_(p) points in order to generate all of the points inthe differential pseudo-constellation. The differentialpseudo-constellation does not necessarily have to be polar or evensymmetric, although normally it would be.

For example, in a two amplitude level, polar, sixteen QAM differentialpseudo-constellation there can be sixteen evenly-spaced differentialphase values, separated by 22.5° increments, alternating between twoabsolute amplitude level values. Each differential pseudo-constellationpoint then has a unique phase, and each point on a given amplitude levelis separated from the other nearest points on the same amplitude levelby 45°. The optimal ratio of inner to outer amplitude levels to minimizeBER is 0.620. An absolute constellation having thirty-two points isneeded to generate these sixteen differential pseudo-constellationpoints.

Amplitude Scaling Using Amplitude Transitions.

The method also includes an amplitude scaling technique using amplitudetransitions for scaling the amplitudes of the differentialpseudo-constellation, thereby advantageously compensating for changes insignal strength. The technique is accomplished as follows, aftercompletion of I and Q baseband sampling, with there being one sample,consisting of a sampled I value and a sampled Q value, occurring persymbol period.

First, referring to FIG. 2, an amplitude transition, whetherhigher-to-lower or lower-to-higher, between a previous state and apresent state is examined to identify an actual amplitude level, asdepicted in box 40. Then, a scale factor is calculated by dividing anormalized ideal amplitude level by the actual constellation amplitudelevel, as depicted in box 42. The preceding steps are repeated to resultin a plurality of scale factors, as depicted in box 44. Next, theplurality of scale factors are averaged to produce an average scalefactor, as depicted in box 46. Lastly, the average scale factor is usedto scale the amplitude levels, as depicted in box 48.

In more detail, it will be appreciated that for N amplitude levels,there are N*(N−1)/2 distinct combinations of amplitude levels betweenwhich a transition can occur. Because the transition can occur in eitherdirection, there are as many as N* (N−1) possible ratios of presentamplitude value to previous amplitude value. For two amplitude levels,for example, there are two amplitude transition possibilities andtherefore two possible ratios of present amplitude to previousamplitude. For three amplitude levels there are six possible ratios ofpresent amplitude to previous amplitude; for four levels there aretwelve possibilities, and for five levels there are twentypossibilities. Not all of these ratio values are necessarily distinct;there could be two or more transitions for which the ratios of presentamplitude to previous amplitude are equal or too close in value. Thus,referring to FIG. 3, when examining the amplitude transitions, thesubset of potential transitions should be selected that results in ratiovalues that are unique and adequately separated from any othertransition ratio value, as depicted in box 50. Then, upper and lowerlimits are established for each of these unique amplitude ratio values,as depicted in box 52. When the ratio of the present amplitude level tothe previous amplitude level is within these limits, it is assumed thatthe corresponding amplitude transition has occurred, as depicted in box54. In this way, received amplitude values for known constellationamplitude levels can be identified and used for scaling the sampledsignal.

The scale factor is calculated as the ratio of the normalized idealamplitude level to the actual constellation amplitude level. Forexample, if M2 and M1 represent, respectively, the present and previousabsolute state sampled amplitude levels, and M2/M1 is within sometolerance of some normalized ideal ratio of amplitude levels (e.g.,A2/A1+/−tolerance, where A2 and A1 are two normalized ideal amplitudelevels of the constellation) then there are two estimates of the scalefactor: A2/M2 and A1/M1. Either one or the other or both could beincluded in a running average of the scale factor for scaling thesignal.

The plurality of scale factors resulting from multiple iterations ofthese steps are then averaged to produce an average scale factor whichis thereafter used to scale the amplitude levels. The scale factor usedfor a given sampled amplitude value can be based on all data received oron data received only over a limited window, and it could be a weightedaverage with heavier weighting given to those estimates determinedclosest to the amplitude value being scaled.

For example, for two amplitude levels with only outer circle amplitudeestimates used, continuous amplitude referencing is accomplished byidentifying higher-to-lower and lower-to-higher amplitude transitionsthat fall within certain predetermined ratio limits. A runningcumulative average of the higher amplitude values of the identifiedtransitions is then used to determine a scale factor to scale all theabsolute amplitude levels appropriately. Alternatively, the loweramplitude values could be utilized by taking each measured amplitudelevel, dividing the corresponding nominal amplitude value by themeasured value to determine a scale factor value, and including each ofthese scale factor values in a running cumulative average scale factorused to scale all absolute amplitude levels.

Amplitude Scale Tracking Using Amplitude Transitions.

The method also includes an amplitude scale tracking technique fortracking-out rapid and severe scale variations in the received multipleamplitude level QAM signal, thereby advantageously facilitatingsuccessful signal demodulation and data retrieval. The technique isaccomplished as follows, after completion of I and Q baseband sampling,with there being one sample, consisting of a sampled I value and asampled Q value, occurring per symbol period.

Broadly, scaling for tracking-out the scale variations is determinedbased upon legitimate higher-to-lower or lower-to-higher transitions inthe signal to identify known amplitude levels. Those transitions whoseratio is within a pre-established tolerance of a nominal ratio of a pairof amplitude levels, the transition between which is being searched, areconsidered to be known transitions between those amplitude levels, andtherefore known sample amplitude levels can be identified and used forscaling the received sampled signal to the desired nominal scale. Eachsignal sample amplitude can be scaled based upon the closest 2*n knownsample amplitudes previously identified (the closest n before and nafter) and this windowed scaling can be further weighted with greaterweight being given to more recent values of known sample amplitudesidentified within the window. This windowed/weighted average is used todetermine the scaling value to compensate for changes in signalstrength. If there were no amplitude variations, then 2*n couldencompass the entire sampled waveform and the same scale value would beused for all samples.

In more detail, referring to FIG. 4, for the general case of a multipleamplitude level constellation, a ratio of amplitudes of consecutivesampled amplitude values is determined, as depicted in box 60. Then itmust be determined whether the amplitude ratio represents a validtransition, as depicted in box 62. For example, if the ratio is withinr+/−t₁ or possibly also (1/r)+/−t₂, where r is the nominal ratio of thetwo consecutive constellation amplitude levels, the transition betweenwhich is being searched for scaling determination, and t₁ and t₂ arepre-established tolerances, then it is considered that this was a validtransition between those two levels. Two amplitude levels are thusidentified, as depicted in box 64. From either or both of theseamplitude levels, scale factors are determined as the ratio of therespective normalized ideal amplitude level to the actual amplitudelevel received, as depicted in box 66. For example, if M2 and M1represent, respectively, the present and previous absolute state sampledamplitude levels received, and A2 and A1 are the respective normalizedideal amplitude levels identified, then the two estimates of scalefactor are (A2/M2) and (A1/M1).

Then, windowed/weighted averages of scale factors are generated, asdepicted in box 68. For each pair of sampled I and Q values to bescaled, their corresponding windowed/weighted average scale factor hasput more weight on scale factors determined from closer identifiedamplitude levels. Lastly, the signal's I and Q values are multiplied bythe corresponding windowed/weighted average of scale factors, asdepicted in box 70, to compensate for any changes in signal strength.

The scaling method may be implemented as follows.

With

Symb(0,1 . . . Size−1)=input symbol magnitude sample array;

and with

s(0,1, . . . M)=determined scale factor values,

p(0,1, . . . M)=index position of input symbol array element Symb(*) atwhich scale factor s(*) (of the same index position as the correspondingp(*) element) was determined;

and with

as(j)=AVG(from i=j to i=j+n−1) of s(i),

where as (j) determined for j=0 to j+n−1=M (max array element number ofs(i)); that is, from j=0 to j=M−n+1,

n=even number=number of elements used in each scaling average (window)(the user would input n/2 in this case);

and with

fas(k)=final scale factor array, each fas(k) element is used to scalethe corresponding element of Symb(k) of same index.

Where the lower and upper index ranges of each fas(k) is assigned theindicated value of the as(*) element as follows:   fas(k) = as(0) , for0 ≦ k < p(n / 2)

start at 0   fas(k) = as(1) , for p(n / 2) ≦ k < p(1 + n / 2)   ...  fas(k) = as(j − 1) ,     for p(j + n / 2 − 2) ≦ k < p(j + n / 2 − 1)  fas(k) = as(j), for p(j + n / 2 − 1) ≦ k < p(j + n / 2)

general formula   fas(k) = as(j + 1) , for p(j + n / 2) ≦ k < p(j + n /2 + 1)   ...   fas(k) = as(M − n),     for p(M − n / 2 − 1) ≦ k < p(M −n / 2)   fas(k) = as(M − n + 1),     for p(M − n / 2) ≦ k ≦ Size − 1

end at Size − 1 Notes:   Lowest as(*) index = 0   Max as(*) index = M −n + 1

The index of the p(*) value corresponding to the last lower index rangefor fas(*) element value assignment can be verified as: Last jvalue=M−n+1. That is, last j value=last as(*) index, because, per thegeneral formula, as(*) index=j. The general formula has index of p(*)element corresponding to lower index range of fas(*) element valueassignment=j+n/2−1. Substituting “j+n/2−1” from the general formula andthe last j value for j, the index of p(*) corresponding to the lastlower index range for fas(*) element value assignment is M−n/2.

Then, using the values set forth above, the new scaled magnitude foreach k^(th) symbol becomes fas(k)*Symb(k).

Amplitude Scaling Using Amplitude Maximums.

The method also includes an alternative amplitude scaling techniqueusing amplitude maximums. This technique is performed as follows afterdownconverting to baseband, filtering, and symbol sampling.

Step 1. Referring to FIG. 5, ideal constellation amplitude magnitudesare first determined, as depicted in box 80. Then, an ideal ratio ofeach ideal constellation amplitude magnitude to the outer levelconstellation magnitude is determined, as depicted in box 82. Then upperand lower limits are determined around the ideal ratio value, asdepicted in box 84. These limits are set so as not to overlap the limitsaround the ideal ratio value corresponding to any other magnitude level,and will therefore uniquely identify a given amplitude ratio within agiven set of limits with the ideal constellation amplitude levelcorresponding to those limits.

Step 2. For a given signal segment to be scaled, the maximum amplitudemagnitude over the entire segment is determined, as depicted in box 86.This is assumed to be the outer level constellation magnitude.

Step 3. For each symbol sample, the ratio of the symbol sample magnitudeto the maximum magnitude determined in Step 2, above, over the entiresegment is determined, as depicted in box 88. If this ratio is withinthe upper and lower limits determined in Step 1, above, corresponding toa given ideal magnitude level, then that point can be identified asbeing of that ideal magnitude level. That ideal magnitude level is thendivided by the magnitude of that symbol sample point identified as beingof that ideal magnitude level to obtain a scale factor, as depicted inbox 90.

Step 4. Step 3 is repeated for all symbol samples within the signalsegment, thereby generating a plurality of scale factors, as depicted inbox 92. The plurality of scale factors are then averaged and used todetermine an amplitude scale factor for the entire signal segment, asdepicted in box 94.

Step 5. All symbol sample magnitudes within the signal segment aremultiplied by the average amplitude scale factor, as depicted in box 96,to compensate for any changes in the strength of the signal.

2^(N) Power Carrier Recovery.

The method also includes a 2^(N) power carrier recovery technique forrecovering a carrier signal from the QAM signal alone and withoutbenefit of a pilot carrier wave, thereby advantageously facilitatingdemodulation of the QAM signal and retrieval of the data.

The technique is as follows. Referring to FIGS. 6 and 7, on aPreliminary Main Path, given a QAM signal having 2^(N) phase states, thesignal is first bandpass pre-filtered around an intermediate frequency(IF), e.g., +/−1/(symbol period), as depicted in box 100. The IF is thecenter frequency of the (possibly digitized) starting input signal beingprocessed. Then, if the system is implemented digitally, the signal isup-sampled, as depicted in box 102, to increase the Nyquist rate (samplefrequency/2) of the starting input sample, prior to any signal squaring,sufficiently above the highest signal frequency component that therewill be after the signal has been raised to the 2^(N) power ([samplefrequency/2]>p*[IF+(BW/2)]*2^(N), where BW=signal bandwidth, and p>1,e.g., p=3). Thus, up-sampling in the present invention normally resultsin an increase in the sample rate of the starting input signal by afactor of 2^(N) The Preliminary Main Path continues below on aContinuation of the Main Path.

On a Mean Amplitude Path, the absolute value of the signal isdetermined, as depicted in box 104. Then, the mean is determined anddivided by a user-selected divisor, as depicted in box 106, to obtain alimit amplitude value which is near the lowest constellation amplitudelevel. The Mean Amplitude Path can be performed following orsubstantially simultaneous with the Preliminary Main Path.

On a Continuation of the Main Path, the signal's positive and negativeamplitude swings are either hard or soft limited to the limit amplitudevalue determined on the Mean Amplitude Path, as depicted in box 108.Hard limiting involves simply clipping the signal amplitude; softlimiting involves applying a more gradual compression curve to thesignal amplitude.

Two alternative loop paths are then available. On a First AlternativeLoop Path (repeated N times, for i=1, 2, 3, . . . N), the signal isbandpass filtered from 2^((i−1)) *(start frequency) to 2^((i−1))*(endfrequency), as depicted in box 110, and then squared, as depicted in box112.

On a Second Alternative Loop Path (repeated N times), the signal isbandstop filtered from 2^(N)*(start frequency) to 2^(N)*(end frequency),as depicted in box 114, and then squared, as depicted in box 116.

Two alternative end paths are then available. On a First Alternative Endof Main Path, the signal is Fourier transformed (e.g. FFT), as depictedin box 118. Then the peak response is found between 2^(N)*(startfrequency) and 2^(N)*(end frequency), as determined in box 120. Lastly,the frequency corresponding to the peak response is divided by 2^(N), asdepicted in box 122, with the result being the carrier signal frequency.

On a Second Alternative End of Main Path, the signal is bandpassfiltered from 2^(N)*(start frequency) to 2^(N)*(end frequency), asdepicted in box 124. Lastly, a frequency divide by 2^(N) operation isperformed, as depicted in box 126, with the result being the carriersignal frequency.

For example, for a QAM signal having sixteen phase states (2⁴), the2^(N) power carrier recovery technique proceeds as follows. On thePreliminary Main Path, the original input signal is first bandpasspre-filtered around the IF. Then the signal is up-sampled to increasethe Nyquist rate, as discussed above. This results in an increase in thesample rate of the starting input signal by a factor of sixteen. Asabove, the Preliminary Main Path continues below on the Continuation ofthe Main Path.

On the Mean Amplitude Path, the absolute value of the original inputsignal is determined. Then, the mean is determined and divided by theuser-selected divisor to obtain the limit amplitude value which is nearthe lowest constellation amplitude level.

On the Continuation of the Main Path, the signal's positive and negativeamplitude swings are either hard or soft limited to the limit amplitudevalue determined on the Mean Amplitude Path.

On the First Alternative Loop Path (repeated four times, for i=1, 2, 3,4), if used, the signal is bandpass filtered from 2^((i−1))*(startfrequency) to 2^((i−1))*(end frequency), and then squared.

On the Second Alternative Loop Path (repeated four times), if used, thesignal is bandstop filtered from 16*(start frequency) to 16*(endfrequency), and then squared.

On the First Alternative End of Main Path, if used, the signal isFourier transformed (e.g. FFT). Then the peak response is found between16*(start frequency) and 16*(end frequency). Lastly, the frequencycorresponding to the peak response is divided by 16.

On the Second Alternative End of Main Path, if used, the signal isbandpass filtered from 16*(start frequency) to 16*(end frequency).Lastly, a frequency divide by 16 operation is performed.

Thus, the carrier signal can be recovered either from the pilot carrierwave, if available, or from the modulated signal itself using thepresent method, and thereafter used to demodulate the absolute IQ pointswith unknown phase shift.

Coherent Demodulation.

The method also includes an improved coherent demodulation “N+” windowtechnique for carrier recovery that advantageously provides significantimprovement in BER versus Eb/No over incoherent demodulation.

The technique is as follows. Referring to FIG. 8, for each set of Nabsolute-phase/absolute-amplitude constellation received states, eachstate is assigned to the nearest ideal absolute-phase/absolute-amplitudeconstellation point, as depicted in box 140. If these represent a legalsequence of N−1 differential transition states, then those are the N−1differential transition states tentatively assigned, as depicted in box142. Otherwise, the N−1 differential transition states tentativelyassigned will be based upon a sequence of lowest metric constellationstates determined as follows, as depicted in box 144. For each of the Nabsolute-phase/absolute-amplitude constellation states, it and the Madjacent states, for M+1 total states, are determined, as depicted inbox 146. This results in (M+1)^(N) possible combinations. These are thenreduced to only those combinations that represent a sequence of N−1valid differential transitions, as depicted in box 148. Of these, theone with the lowest metric (for example, sum of squares of N distancesbetween ideal absolute constellation positions and received positions)is tentatively chosen as the N−1 differential transition states or Nabsolute states, as depicted in box 150. The previous steps are thenrepeated each time advancing one state at a time through the receivedsequence, as depicted in box 152, such that each differential transitionis assigned with associated metric N−1 times. Lastly, the metric isagain applied and the one of the N−1 with the smallest associated metricis chosen as the actual differential state, as depicted in box 154,hence the “+” in N+, effectively increasing the window beyond the N butin a weaker form.

For example, coherent demodulation for N=4, applied to a thirty-twostate, two amplitude level, polar, absolute constellation with, on eachamplitude level, sixteen evenly divided phases at values i*22.5°, wherei=0 to 15, is accomplished as follows. First, for each set of fourabsolute-phase/absolute-amplitude constellation received states, each ofthe states is assigned to the nearest idealabsolute-phase/absolute-amplitude constellation point. If theserepresent a valid sequence of three differential transition states, thenthey are the three differential transition states assigned. Otherwise,for each of the four absolute states, it and the five adjacent states,for a total of six states, are determined. This results in 6*6*6*6=1296possible combinations. These are then reduced to only those combinationsthat represent a sequence of three valid differential transition states.Of these, the one with the lowest metric is chosen as the threedifferential transition states or four absolute states. The precedingsteps are repeated, each time advancing to the next state in thereceived sequence, such that each differential transition is assignedthree times. Once again the metric is applied and the one of the threewith the smallest metric is chosen as the actual differential transitionstate, hence the “+” in 4+, effectively increasing the window beyond the4 but in a weaker form.

Incoherent Demodulation.

The method also includes an incoherent demodulation technique using“closest to” state assignment to advantageously accomplish carrierrecovery when coherent carrier recovery is not possible or practical dueto signal degradation.

The technique, wherein each actual differential-phase/absolute-amplitudepseudo-constellation normalized point received (after amplitude scaling,described above) is assigned to the closest idealdifferential-phase/absolute-amplitude state in the differentialpseudo-constellation, is as follows. Referring to FIG. 9, the idealpoints in the multi-state differential pseudo-constellation must firstbe determined, as depicted in box 160. Thereafter, when a normalizedpoint is received, as depicted in box 162, it is assigned, as depictedin box 164, to a closest one of the ideal points.

Thus, the carrier signal can be recovered incoherently either from apilot signal or from the modulated signal itself and used to demodulatethe absolute IQ points with unknown phase shift. The differential phasesare then calculated from this sequence to determine the differentialphase and absolute amplitude IQ sequence.

Furthermore, because, for incoherent demodulation, only phase need bedifferential while amplitude can be scaled based upon amplitudetransitions, BER is minimized. Thus, BER is not sacrificed any more thannecessary to achieve the robustness and important attributes ofincoherent demodulation and relative referencing.

Transmitter Logic.

One possible transmitter logic for generating the desireddifferential-phase/absolute-amplitude symbols from the tunedabsolute-phase/absolute-amplitude IQ constellation points is as follows.The transmitter logic can be implemented in any suitable software,firmware, or hardware embodiment, such as, for example, a Xilinx FPGA.

Step 1. First, referring to FIG. 10, two look-up tables, Table A andTable B are created, as depicted in box 180. Exemplary tables are shownbelow. In Table A is a list of all the states in the differentialpseudo-constellation, N=0 to C, where C =the total number ofdifferential pseudo-constellation points−1, and where N=the number beingtransmitted with that symbol. Thus, for example, C=15 for a 16 symboldifferential pseudo-constellation, and N=9=1001 for a 16 symboldifferential pseudo-constellation. Corresponding to each element N aretwo representative integer numbers: a first number and a second number.The first number, A, represents the corresponding amplitude level, 0, 1. . . (total number of amplitude levels)−1. Thus, for example, for twoamplitude levels, A=0 and 1. The second number, D, represents the phaseexpressed as the number of differential phase increments to be sent. Thephase increment is the smallest change in phase from oneabsolute-phase/absolute-amplitude state to the next, an integral divisorof 360°, 360/N_(p), where N_(p)=total number ofabsolute-phase/absolute-amplitude phases. So the total phase shiftcorresponding to a given value of D is D*(360/N_(p)) degrees. Normally,the A and D values will map a Gray or near-Gray coded constellation. InTable B a list of absolute-phase/absolute-amplitude tuned I and tuned Qvalues are given along with a corresponding index position number, T.

Step 2. When it is desired to transmit the bit pattern (binary) equal tothe number N (decimal), the A and D numbers corresponding to N arelooked-up in Table A, as depicted in box 182. Then an absolute phase,P(i), is determined, as depicted in box 184. Specifically, if the numberP represents the absolute phase, in terms of the number of phaseincrements, corresponding to the new absolute-phase/absolute-amplitudestate to be transmitted, then P(i)=P(i−1)+D. Where P(i)=absolute phase,in number of phase increments, to be transmitted and P(i−1)=absolutephase, in number of phase increments, previously transmitted, that is,the previous P′(i) value. The absolute phase corresponding to a givenvalue of P is P*(360/N_(p)) degrees.

Step 3. If P(i)>=N_(p), then the revised P(i) value, P′(i), becomesP′(i)=P(i)−N_(p). Otherwise P′(i)=P(i). Thus, P′(i)<N_(p). Thiseliminates any wrap-around 360°, as depicted in box 186.

Step 4. Next, a T value is determined as T=P′(i)+N_(p)*A, as depicted inbox 188.

Step 5. Then, tuned I and tuned Q values corresponding to the T valuedetermined in Step 4 are looked-up in Table B, as depicted in box 190,and then sent to the I and Q digital-to-analog converters, as depictedin box 192. These values may be tuned to correct for any hardware errorsso that they correspond to the correct IQ constellation points, asdepicted in box 194.

Applying this general procedure specifically to adifferential-phase/absolute-amplitude polar constellation with twoamplitude levels and sixteen states, each with a distinct phase andalternating amplitude levels, the transmitter logic for transforming thedesired QAM differential phase and absolute amplitude symbol number intothe required tuned absolute IQ values to generate the correspondingdifferential phase and absolute amplitude is as follows. The followingdetailed definitions apply:

-   -   N is the desired differential phase and absolute amplitude QAM        position number to be transmitted; N is equal to the actual 4        bits to be transmitted, 0 (0000) through 15 (1111).    -   A is the amplitude level, 0 or 1, where 0 represents inner        amplitude and 1 represents outer amplitude.    -   D is the differential phase number, 0 through 15, which        represents a phase shift of D*22.5°. These are for semi-Gray        coded symbols.    -   P is the absolute phase number, 0-30 before Bit 5 null and 0-15        after Bit 5 null.

T is the tuned absolute IQ constellation position number, 0-31. TABLE AN A D 0 0 1 1 0 3 2 0 7 3 0 5 4 0 15 5 0 13 6 0 9 7 0 11 8 1 0 9 1 2 101 6 11 1 4 12 1 14 13 1 12 14 1 8 15 1 10

TABLE B Tuned Absolute IQ Constellation Points T Tuned I Tuned Q 0 . . .. . . 1 . . . . . . . . . . . . . . . 31  . . . . . .Step 1. Look up row N(0-15) in Table A for A & D values.Step 2. P(0-30)=P(0-15)+D(0-15), (P=0 initially).Step 3. Null Bit 5 of P(0-30 before, 0-15 after).Step 4. T(0-31)=P(0-15)+16*A(0,1), (shift A 4 bits left).Step 5. Look up row T(0-31) in Table B for new IQ absolute position,then output to I and Q digital-to-analog converters.Multipath Equalization.

The method also includes a multipath equalization technique forequalizing a frequency dependent multipath to advantageously deal withmoderate and severe conditions of frequency dependent fading so thatdata can be successfully recovered. Use of the present multipathequalization method provides an enhanced data transmission rate with anacceptable signal-to-noise ratio.

Referring to FIG. 11, the frequency dependent multipath can besuccessfully equalized as follows. First, the multipath corrupted signalis received as an input signal, as depicted in box 200. Then, the inputsignal is filtered using an equalization filter having a set of one ormore trial filter parameters, as depicted in box 202. The one or morefilter parameters can include Ai's, Di's and Pi's, where i=1 to M−1 tocompensate M multipath signals. Ai is the fractional amplitude of thei^(th) multipath signal relative to the line-of-sight (LOS) signal. Diis the relative delay between the i^(th) multipath signal and the LOSsignal. Pi is the relative angle between the i^(th) multipath signal andthe LOS signal. The A, D, and P filter parameters are discussed ingreater detail below. Next, an optimization criteria is determined fromthe filtered input signal, as depicted in box 204. Thereafter, theprocess is repeated, each time varying the set of one or more filterparameters to obtain its respective optimization criteria value, asdepicted in box 206. Lastly, based on the various optimization criteriaresults obtained, the set of one or more filter parameters that resultedin an optimized optimization criteria value is selected, as depicted inbox 208, and used to compensate the multipath corrupted signal andsuccessfully equalize the frequency dependent multipath, as depicted inbox 210.

These general steps can be used for both two-ray and M-ray signals. Morespecifically, in many cases the multipath corrupted signal can bemodeled as comprising two rays, including a first ray that is aline-of-sight (LOS) signal and a second ray that is a second multipathsignal reflected off of, for example, a water or land surface. First,the multipath corrupted signal is received as the input signal. Then,the received signal complex envelope, S_(k)=I_(k)+jQ_(k), of the inputsignal is filtered using a recursive filter involving a signal delayterm:1/[1+Ae ^(jP) z ^(−(D+1))],where A is the fractional amplitude of the second multipath signalrelative to the LOS signal, P is the relative angle, and D is therelative delay−1.The filter is stable in this form as long as A<1. In the case in whichA>1, the filter must be put into a causal non-recursive approximationform:z ^(−ND) −z ^((1-N)D)/(Ae ^(jP))+z ^((2−N)D)/(Ae ^(jP))² −z^((3−N)D)/(Ae ^(jP))³ +z ^((4−N)D)/(Ae ^(jP))⁴ . . . (−1)^(n) z^((n−N)D)/(Ae ^(jP))^(n) . . . (−1)^(N)/(Ae ^(jP))^(N),

-   -   where N=number of terms in series−1.        Note that the indices correspond to original digitized IF sample        points, not symbol sample points.

Next, the optimization criteria is applied to the filtered complexenvelope of the input signal and an optimization criteria value isdetermined. The optimization criteria used to obtain the best A, D, andP values can be to either maximize the magnitude of “correlation ofcorrelation”; minimize “constellation spread”; or minimize 10*(number ofparity errors)+(constellation spread). The definition of constellationspread is:√[Σ_(i)(L_(i) ²)],

where

-   -   L_(i) ²=(I_(Ci)−I_(Si))²+(Q_(Ci)−Q_(Si))²;    -   (I_(Si,)Q_(Si))=differential-phase/absolute-amplitude        pseudo-constellation symbol sample point vector received; and    -   (I_(Ci,)Q_(Ci))=ideal differential-phase/absolute-amplitude        pseudo-constellation point vector closest to (I_(Si,)Q_(Si)).        That is, L_(i) is the distance between the sampled        differential-phase/absolute-amplitude pseudo-constellation point        received and the nearest ideal        differential-phase/absolute-amplitude pseudo-constellation        point.

Short of performing a full demodulation, maximizing the magnitude of thecorrelation of correlation scalar metric works well. The correlation ofcorrelation scalar optimization criteria is:R _(ST) •R _(TT) */∥R _(ST|)∥,

where,R _(ST)(k)=Σ_(i) S _((i+k)) T _(i)*;R _(TT)(k)=Σ_(i) T _((i+k)) T _(i)*;∥R _(ST)∥=√(R _(ST) •R _(ST)*);

-   -   “•” is the dot product with respective peaks of product terms        aligned and each product term reduced to the segment just        encompassing the trigger response area;    -   T_(k) is the ideal complex envelope trigger sequence        transmitted;    -   S_(k) is the actual complex envelope trigger sequence received        after trial equalization;    -   the indices correspond to the original digitized IF sample        points (not the symbol sample points); and    -   “trigger sequence” refers to a known set of pseudo-random        symbols that are transmitted each burst, and is required by the    -   “correlation of correlation” criteria, but not by the 10*(number        of parity errors)+(constellation spread) criteria.

Alternatively, the correlation of correlation scalar optimizationcriteria to maximize could be:MAX∥{Σ _(i) R _(ST)(i+k)R _(TT)(i)*/∥R _(ST)∥}∥,where, MAX is the maximum value.But note, the alternative criteria requires more mathematical operationsthan the criteria R_(ST)•R_(TT)*/∥R_(ST)∥, though the results areidentical.

Lastly, based on the various optimization criteria results obtained, theset of one or more filter parameters that resulted in an optimizedoptimization criteria value is selected for compensating the multipathcorrupted signal and successfully equalizing the frequency dependentmultipath.

In some cases the multipath corrupted signal must be modeled ascomprising M-rays, where M is greater than two. The aforementionedsteps, described for two-ray compensation, can be adapted to equalize anM-ray multipath corrupted signal by determining the causal, stable,non-recursive filter approximation to the recursive filter with multiplesets of A_(i), D_(i), and P_(i), where i=1 to M−1. The recursive filterinvolving M−1 delay terms is 1/[1+Σ_(i)A_(i)e^(jPi)z^(−(Di+1))], wherethe sum is taken from i=1 to M−1. If all poles are within the unitcircle, the recursive filter itself can be used.

Though not ideal, further improvement is possible by taking the signalso equalized and repeating the above-described two-ray equalizationprocedure. This can be done for multiple iterations, with each two-rayequalization iteration operating on the output of the previousiteration. Ideally, all filter parameters of a multiple delay termfilter are determined simultaneously, though doing so may require alarge number of simultaneous search parameters.

First, referring to FIG. 12, the input signal is compensated to beequalized for two rays, using the two-ray compensation method describedabove. Then, the two ray compensation method is repeated N−1 times, eachtime using the compensated signal from the previous iteration, asdepicted in box 212. This results in N sets of amplitude, A_(i), delay,D_(i), and phase, P_(i), compensation values, where i=1, 2, . . . N.This process is repeated until a satisfactory equalization is achievedor nor further improvement occurs, as depicted in box 214.

Demodulation Filtering.

The method also includes a demodulation filtering technique for the casein which there are transmitter baseband filters and there are noclose-in interferers.

The technique is as follows. Referring to FIG. 13, an I signal portionand a Q signal portion of the QAM signal are downconverted, as depictedin box 220. Then, a filter function is determined as a function of aweighted curve giving greater weight to center and less weight to edgesamples, and a transfer function of one or more transmitter I and Qbaseband filters, as depicted in box 222. Lastly, the I signal portionand the Q signal portion are filtered using the filter function, asdepicted in box 224.

A suitable frequency domain filter function is:(weighted integrate and dump)/H(f),where H(f) is the transfer function for the transmitter I and Q basebandfilters.

“Weighted integrate and dump” involves a weighted curve that hasnon-zero values over a period somewhat less than the symbol period andgives more weight to the center samples and less toward the edges. Theshape of the weighted curve could be, for example, a Bell curve, acosine, a circle, or a triangle. For example, in an application with a40 ns symbol period, it was found that an optimal set of parameters usesa semi-circle weighting curve with non-zero values over a 28 ns period:W=√(1−x ²), x from −k to k, 0<k≦1.When x=−k, this corresponds to the start of the 28 ns period, and whenx=k, this corresponds to the end of the 28 ns period. Outside of this 28ns period, W=0. The best value found for k was 0.80.

EXAMPLE

The present invention has been used for telemetry transmitters used totransmit signals exoatmospheric, near the surface of the ocean, andthrough severe channel conditions that involved transmitting through aplasma, resulting in extreme and rapid signal scale variations. In thesecases, the method has been implemented as a two-level polar sixteen QAMdifferential-phase/absolute-amplitude pseudo-constellation with sixteenevenly spaced differential phase values, separated by 22.5° increments,alternating between two absolute amplitude level values. Eachpseudo-constellation point is given a unique phase, and each point on agiven amplitude level is separated from the other nearest points on thesame amplitude level by 45°. An absolute-phase/absolute-amplitudeconstellation comprising thirty-two points is required to generate thesixteen differential-phase/absolute-amplitude pseudo-constellationpoints. The optimal ratio of inner amplitude level to outer amplitudelevel is 0.63 for minimum BER. “Semi”-Gray-code bit assignment for thedifferential-phase/absolute-amplitude pseudo-constellation points isused. As mentioned, perfect Gray coding is not possible for a polarconstellation.

Example Eb/No (dB)s Required for BER=1e−4

Eb/No (dB) Condition required for BER = 1e⁻⁴ coherent demod and matchedfiltering 13.54 coherent demod and transmitter filtering as 14.13 usedon HERT incoherent demod and matched filtering 15.34 incoherent demodand transmitter filtering as 16.10 used on HERT

Example Transmit Spectrums

For an (unmatched) transmitter 15 MHz 5th order linear 0.5°equi-phase-ripple passive I and Q baseband filters incorporated into theHERT transmitter hardware, the transmitted spectral BW is as follows for120 ns and 40 ns symbol periods: 40 ns symbol 120 ns symbol period,period, BW Definition 33.3 Mbits/sec 100 Mbits/sec 3 dB BW +/−3.5 MHz+/−8.85 MHz 99% power BW  +/−13 MHz +/−17.4 MHz

For the (unmatched) transmitter 5 MHz 5th order Bessel passive I and Qbaseband filters incorporated into the HERT transmitter hardware, thetransmitted spectral BW is as follows for a 120 ns symbol period: 120 nssymbol period, BW Definition 33.3 Mbits/sec 3 dB BW +/−3.04 MHz 99%power BW  +/−5.6 MHzAdvantages.

From the preceding description it will be appreciated that the method ofthe present invention provides a number of substantial advantages overthe prior art, including, for example, providing continuous phase andamplitude references, wherein phase is encoded differentially andamplitude is encoded absolutely. Additionally, the method allows forscaling the amplitudes of the differential-phase/absolute amplitudepseudo-constellation. Additionally, the method allows for advantageouslytracking-out rapid and severe scale variations in the received multipleamplitude level QAM signal so that the signal can be successfullydemodulated and the data retrieved. Additionally, the method allows forincoherent carrier recovery when coherent recovery is impossible due toe.g., frequency variations in the signal, thereby advantageouslyfacilitating demodulation of the QAM signal and retrieval of the data.Additionally, the method allows for coherent carrier recovery thatadvantageously provides significant improvement in BER versus Eb/No overincoherent demodulation. Additionally, the method advantageously allowsfor equalizing frequency dependent multipath to deal with moderate andsevere conditions of frequency dependent fading so that data can besuccessfully recovered from, for example, a high-speed telemetry QAMsignal.

Although the invention has been described with reference to thepreferred embodiments illustrated in the drawings, it is noted thatequivalents may be employed and substitutions made herein withoutdeparting from the scope of the invention as recited in the claims. Inparticular, some or all of the various techniques disclosed herein maybe used independently of some or all of the other techniques disclosedherein, and thus the overall method is not limited to inclusion and useof all of the various techniques. Furthermore, some or all of thevarious techniques can be implemented in hardware, firmware, orsoftware, and have broad application to a variety of signal types anduse contexts, including, for example, wireless or hardwired spectrallyefficient high data rate digital communications.

Having thus described the preferred embodiment of the invention, what isclaimed as new and desired to be protected by Letters Patent includesthe following:

1. A method of equalizing a multipath corrupted signal, the methodcomprising the steps of: (a) receiving the multipath corrupted signal asan input signal; (b) filtering the input signal using a trialequalization filter having a set of one or more filter parameters; (c)determining an optimization criteria from the filtered input signal; (d)repeating steps (b) and (c), varying the set of one or more filterparameters each time the steps are repeated; and (e) selecting the setof one or more filter parameters that results in an optimizedoptimization criteria value.
 2. The method as set forth in claim 1,wherein the multipath corrupted signal is modeled as including two rays,including a first ray that is a line-of-sight signal and a second raythat is a second multipath signal.
 3. The method as set forth in claim1, wherein the optimization criteria of step (c) incorporates amaximization criteria for maximizing correlation of correlation.
 4. Themethod as set forth in claim 1, wherein the optimization criteria ofstep (c) incorporates a constellation spread minimization criteria forminimizing constellation spread.
 5. The method as set forth in claim 1,applied non-ideally to a multipath signal corrupted by more than tworays, the method further including the steps of (f) compensating theinput signal using the trial equalization filter having the selected setof one or more parameters, with the result being a compensated inputsignal; and (g) repeating steps (b)-(f) using the compensated inputsignal of step (f) as the input signal.